Workshops
Fall 2017

Optimization, Statistics and Uncertainty

Nov. 28Dec. 1, 2017

Add to Calendar

Organizers:

Sébastien Bubeck (Microsoft Research Redmond; chair), Moritz Hardt (UC Berkeley), Aleksander Mądry (Massachusetts Institute of Technology), Seffi Naor (Technion Israel Institute of Technology), Philippe Rigollet (Massachusetts Institute of Technology)

This workshop aims to explore the emerging connections between optimization, statistics and machine learning. It will discuss ties, both well-known and anticipated, between optimization and various approaches to modeling, reasoning about and coping with uncertainty. Some of the key topics that will be covered are: unsupervised machine learning, computational hardness in statistics, differential privacy and its applications in statistics and machine learning, online regret minimization, robust optimization and planted models.

Further details about this workshop will be posted in due course. Enquiries may be sent to the organizers workshop-opt4 [at] lists [dot] simons [dot] berkeley [dot] edu (at this address).

Registration is required to attend this workshop. To submit your name for consideration, please register and await confirmation of your acceptance to the workshop before booking your travel. Space may be limited, and you are advised to register early.

Invited Participants: 

Emmanuel Abbe (Princeton University), Nima Anari Ahmadipouranari (Stanford University), Farid Alizadeh (Rutgers University), Zeyuan Allen-Zhu (Microsoft Research), Jason Altschuler (MIT), Kyriakos Axiotis (MIT), Afonso Bandeira (New York University), Misha Belkin (Ohio State University), Gerard Benarous (New York University), Manuel Blum (Carnegie Mellon University), Lenore Blum (Carnegie Mellon University), Deeparnab Chakrabarty (Dartmouth College), Parinya Chalermsook (Aalto University), Moses Charikar (Stanford University), Yuxin Chen (Princeton University), Ken Clarkson (IBM Almaden), Michael Cohen (MIT), Alex d'Aspremont (École Normale Supérieure), Jelena Diakonikolas (Boston University), Reza Eghbali (University of Washington), Friedrich Eisenbrand (École Polytechnique Fédérale de Lausanne), Alina Ene (Boston University), Maryam Fazel (University of Washington), Sam Fiorini (Universite libre de Bruxelles), Ben Grimmer (Cornell University), Anupam Gupta (Carnegie Mellon University), Swati Gupta (MIT), Leonid Gurvits (City University of New York), Robert Hildebrand (IBM), Rebecca Hoberg (University of Washington), Dorit Hochbaum (UC Berkeley), Ravi Kannan (Microsoft Research India), Samir Khuller (University of Maryland), Alexandra Kolla (University of Illinois at Urbana-Champaign), Matthias Köppe (UC Davis), Robi Krauthgamer (Weizmann Institute of Science), Rasmus Kyng (Yale University), Fatma Kılınç-Karzan (Carnegie Mellon University), Bundit Laekhanukit (Weizmann Institute of Science), Yin-Tat Lee (University of Washington), Euiwoong Lee (Carnegie Mellon University), Jon Lee (University of Michigan), Cong Han Lim (University of Wisconsin-Madison), Mike Luby (Qualcomm), Tengyu Ma (Princeton University), Shiqian Ma (UC Davis), Marco Macchia (Université Libre de Bruxelles), Alex Makelov (MIT), Jarrod Millman (UC Berkeley), Aryan Mokhtari (University of Pennsylvania), Andrea Montanari (Stanford University), Sarah Maria Morell (EPFL), Walaa Moursi (University of British Columbia), Sahand Negahban (Yale University), Huy Nguyen (Northeastern University), Rad Niazadeh (Stanford University), Sasho Nikolov (University of Toronto), Neil Olver (Vrije Universiteit), Lorenzo Orecchia (Boston University), Debmalya Panigrahi (Duke University), Pablo Parrilo (MIT), Kostya Pashkovich (University of Waterloo), Prasad Raghavendra (UC Berkeley), Max Raginsky (University of Illinois at Urbana-Champaign), Sasha Rakhlin (University of Pennsylvania), Daniel Vaz Ramos Vaz (Max Planck Institut für Informatik), Ben Recht (UC Berkeley), Jim Renegar (Cornell University), Alireza Rezaei (University of Washington), Thomas Rothvoß (University of Washington), Amin Saberi (Stanford University), Ludwig Schmidt (MIT), Tselil Schramm (UC Berkeley), Jonah Sherman (UC Berkeley), Aaron Sidford (Stanford University), Suvrit Sra (MIT), Nikhil Srivastava (UC Berkeley), Thomas Steinke (IBM Almaden), Yue Sun (University of Washington), Ola Svensson (EPFL), Jakub Tarnawski (EPFL), Kim-Chuan Toh (National University of Singapore), Matteo Tonelli (Gran Sasso Science Institute), Dimitris Tsipras (MIT), Levent Tunçel (University of Waterloo), Jonathan Ullman (Northeastern University), Lieven Vandenberghe (UCLA), Santosh Vempala (Georgia Institute of Technology), Soledad Villar (University of Texas at Austin), Nisheeth Kumar Vishnoi (École Polytechnique Fédérale de Lausanne), Adrian Vladu (Boston University), Di Wang (UC Berkeley), Rachel Ward (University of Texas at Austin), David Williamson (Cornell University), Steve Wright (University of Wisconsin-Madison), Bin Yu (UC Berkeley), Chenyang Yuan (MIT)